Separating truth from error: A closer look at the effect of grouped versus intermixed questionnaire format

L. L. Zhang (First Author), Jiing-Lih Farh (Participant Author)

科研成果: 期刊稿件期刊论文

1 引用 (Web of Science)

摘要

A topic of ongoing debate in survey research is whether items measuring different constructs should be grouped by construct or intermixed. Previous researchers have failed to reach a consensus on whether grouping or intermixing measurement items leads to better construct validity. The inconsistency of their findings has to a large extent resulted from a tendency to confound true variance and systematic error variance. Drawing on measurement and cognitive theories, we propose that for established measures with satisfactory psychometric properties, grouped items capture less unsystematic and systematic error variance and more true variance than their intermixed counterparts. This argument is supported by the findings of a field experiment with 853 students in 142 project teams, who reported their teams’ relationship and task conflict on grouped and intermixed items. The theoretical and practical implications of these findings for researchers who use survey instruments are discussed.
源语言英语
页(从-至)881-901
期刊Asia Pacific Journal of Management
36
3
DOI
出版状态已出版 - 2019

Corresponding author email

lidazhang@umac.mo

关键词

  • Error variance
  • Grouping items
  • Intermixing items
  • Knowledge accessibility
  • Knowledge applicability
  • True variance

成果物的来源

  • ABDC-A
  • SSCI

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